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Adverse driving behaviors are associated with sleep apnea severity and age in cognitively normal older adults at risk for Alzheimer’s disease

机译:不良驾驶行为与认知正常的老年人的睡眠呼吸暂停严重程度和年龄有关这些老年人有患阿尔茨海默病的风险

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摘要

Alzheimer’s disease (AD) pathology accumulates for decades before the onset of cognitive decline. Cognitively normal individuals with biomarker evidence of AD brain pathology (i.e. biomarker + or preclinical AD) can be differentiated from individuals without AD brain pathology based on naturalistic driving data, such as hard acceleration or braking and speeding, measured using in-vehicle dataloggers. Older adults are at increased risk of injury and death from motor vehicle crashes and driving cessation is also linked to negative health outcomes. Identifying potentially modifiable risk factors that increase driving risk may prolong safe driving in old age. Sleep apnea is associated with adverse driving behaviors across the age span. In this study, we hypothesized that high-risk driving behaviors would be associated with increased sleep apnea severity and AD pathology. We found that higher sleep apnea severity measured by a home sleep apnea test was associated with a higher incidence of adverse driving behaviors even after controlling for multiple confounders (β = 0.24 ± 0.09, p < 0.01). This association was independent of AD biomarker positivity (i.e. increased t-tau/Aβ 42 ratio). Increasing age was associated with a higher likelihood of high-risk driving behaviors in individuals with AD brain pathology (β = 0.12 ± 0.04, p < 0.01), but a lower likelihood in individuals without AD brain pathology (β = −0.06 ± 0.03, p < 0.05). These findings suggest that adverse driving behaviors linked to a higher rate of traffic crashes in older adults are associated with sleep apnea severity and AD pathology even in cognitively unimpaired individuals. Further studies are needed to determine if treatment of sleep apnea decreases high-risk driving behaviors and therefore motor vehicle crashes.
机译:阿尔茨海默病 (AD) 病理学在认知能力下降开始之前已经积累了几十年。具有 AD 脑病理生物标志物证据的认知正常个体(即 生物标志物 + 或临床前 AD)可以根据自然驾驶数据(例如急加速或制动和超速)与没有 AD 脑病理的个体区分开来,使用车载数据记录器测量。老年人因机动车事故而受伤和死亡的风险增加,停止驾驶也与负面的健康结果有关。识别增加驾驶风险的潜在可改变风险因素可能会延长老年安全驾驶。睡眠呼吸暂停与整个年龄段的不良驾驶行为有关。在这项研究中,我们假设高风险驾驶行为与睡眠呼吸暂停严重程度和 AD 病理的增加有关。我们发现,即使在控制了多个混杂因素之后,通过家庭睡眠呼吸暂停测试测量的较高睡眠呼吸暂停严重程度与较高的不良驾驶行为发生率相关 (β = 0.24 ± 0.09,p < 0.01)。这种关联独立于 AD 生物标志物阳性 (即 t-tau/Aβ 42 比值增加)。年龄增长与 AD 脑病理个体发生高风险驾驶行为的可能性较高相关 (β = 0.12 ± 0.04,p < 0.01),但在没有 AD 脑病理的个体中的可能性较低 (β = -0.06 ± 0.03,p < 0.05)。这些发现表明,与老年人交通事故发生率较高的不良驾驶行为与睡眠呼吸暂停的严重程度和 AD 病理有关,即使在认知未受损的个体中也是如此。需要进一步的研究来确定睡眠呼吸暂停的治疗是否能减少高危驾驶行为,从而减少机动车碰撞。

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